| |
|
| | --- |
| | tags: |
| | - bertopic |
| | library_name: bertopic |
| | pipeline_tag: text-classification |
| | --- |
| | |
| | # BERTopic_andattakstruk_1 |
| |
|
| | This is a [BERTopic](https://github.com/MaartenGr/BERTopic) model. |
| | BERTopic is a flexible and modular topic modeling framework that allows for the generation of easily interpretable topics from large datasets. |
| |
|
| | ## Usage |
| |
|
| | To use this model, please install BERTopic: |
| |
|
| | ``` |
| | pip install -U bertopic |
| | ``` |
| |
|
| | You can use the model as follows: |
| |
|
| | ```python |
| | from bertopic import BERTopic |
| | topic_model = BERTopic.load("GiganticLemon/BERTopic_andattakstruk_1") |
| | |
| | topic_model.get_topic_info() |
| | ``` |
| |
|
| | ## Topic overview |
| |
|
| | * Number of topics: 10 |
| | * Number of training documents: 16559 |
| |
|
| | <details> |
| | <summary>Click here for an overview of all topics.</summary> |
| |
|
| | | Topic ID | Topic Keywords | Topic Frequency | Label | |
| | |----------|----------------|-----------------|-------| |
| | | -1 | the - and - to - of - in | 329 | -1_the_and_to_of | |
| | | 0 | her - and - to - the - she | 8589 | 0_her_and_to_the | |
| | | 1 | the - to - and - of - is | 1950 | 1_the_to_and_of | |
| | | 2 | the - of - to - and - in | 1740 | 2_the_of_to_and | |
| | | 3 | the - to - and - of - in | 1283 | 3_the_to_and_of | |
| | | 4 | the - and - to - of - he | 645 | 4_the_and_to_of | |
| | | 5 | the - of - to - and - in | 564 | 5_the_of_to_and | |
| | | 6 | the - to - and - of - his | 527 | 6_the_to_and_of | |
| | | 7 | the - and - to - of - in | 482 | 7_the_and_to_of | |
| | | 8 | the - and - to - of - is | 450 | 8_the_and_to_of | |
| |
|
| | </details> |
| |
|
| | ## Training hyperparameters |
| |
|
| | * calculate_probabilities: False |
| | * language: english |
| | * low_memory: False |
| | * min_topic_size: 10 |
| | * n_gram_range: (1, 1) |
| | * nr_topics: None |
| | * seed_topic_list: None |
| | * top_n_words: 10 |
| | * verbose: True |
| | * zeroshot_min_similarity: 0.7 |
| | * zeroshot_topic_list: None |
| | |
| | ## Framework versions |
| | |
| | * Numpy: 2.0.2 |
| | * HDBSCAN: 0.8.40 |
| | * UMAP: 0.5.7 |
| | * Pandas: 2.2.2 |
| | * Scikit-Learn: 1.6.1 |
| | * Sentence-transformers: 3.4.1 |
| | * Transformers: 4.51.3 |
| | * Numba: 0.60.0 |
| | * Plotly: 5.24.1 |
| | * Python: 3.11.12 |
| | |
